The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-13"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "7766952 (up from 7632802 yesterday: 1.76 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "429736 (up from 425394 yesterday: 1.02 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.53



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2074526 25540 1.25 115436 767 0.67 5.56
Brazil 850514 21704 2.62 42720 892 2.13 5.02
Russia 519458 8697 1.70 6819 114 1.70 1.31
India 308993 11458 3.85 8884 386 4.54 2.88
United Kingdom 295828 1426 0.48 41747 181 0.44 14.11
Spain 243605 396 0.16 27136 0 0.00 11.14
Italy 236651 346 0.15 34301 78 0.23 14.49
Peru 220749 5961 2.78 6308 220 3.61 2.86
France 193746 526 0.27 29401 24 0.08 15.18
Germany 187267 41 0.02 8793 10 0.11 4.70
Iran 184955 2430 1.33 8730 71 0.82 4.72
Turkey 176677 1459 0.83 4792 14 0.29 2.71
Chile 167355 6509 4.05 3101 231 8.05 1.85
Mexico 142690 3494 2.51 16872 424 2.58 11.82
Pakistan 132405 6472 5.14 2551 88 3.57 1.93
Saudi Arabia 123308 3366 2.81 932 39 4.37 0.76
Canada 100043 448 0.45 8183 58 0.71 8.18
Bangladesh 84379 2856 3.50 1139 44 4.02 1.35
China 84286 58 0.07 4638 0 0.00 5.50
Qatar 78416 1828 2.39 70 0 0.00 0.09
South Africa 65736 3809 6.15 1423 69 5.10 2.16
Belgium 59918 99 0.17 9650 4 0.04 16.11
Belarus 53241 721 1.37 303 5 1.68 0.57
Sweden 50931 1247 2.51 4874 20 0.41 9.57
Netherlands 48847 179 0.37 6076 4 0.07 12.44
Colombia 46994 1650 3.64 1623 61 3.91 3.45
Ecuador 46356 578 1.26 3874 46 1.20 8.36
Egypt 42980 1677 4.06 1484 62 4.36 3.45
United Arab Emirates 41990 491 1.18 288 1 0.35 0.69
Singapore 40197 347 0.87 26 1 4.00 0.06
Indonesia 37420 1014 2.79 2091 43 2.10 5.59
Portugal 36463 283 0.78 1512 7 0.47 4.15
Kuwait 35466 514 1.47 289 4 1.40 0.81
Ukraine 31177 762 2.51 890 10 1.14 2.85
Switzerland 31094 31 0.10 1938 0 0.00 6.23
Argentina 30295 1531 5.32 815 30 3.82 2.69
Poland 29017 440 1.54 1237 15 1.23 4.26
Philippines 25392 605 2.44 1074 22 2.09 4.23
Ireland 25295 45 0.18 1705 0 0.00 6.74
Afghanistan 24102 556 2.36 451 5 1.12 1.87
Dominican Republic 22572 564 2.56 577 9 1.58 2.56
Oman 22077 1006 4.77 99 3 3.12 0.45
Romania 21679 275 1.28 1394 14 1.01 6.43
Panama 20059 848 4.41 429 8 1.90 2.14
Israel 18972 177 0.94 300 0 0.00 1.58
Iraq 18950 1180 6.64 549 53 10.69 2.90
Bolivia 17842 913 5.39 585 26 4.65 3.28
Bahrain 17713 444 2.57 37 1 2.78 0.21
Japan 17293 43 0.25 927 3 0.32 5.36
Austria 17078 14 0.08 677 2 0.30 3.96
Armenia 16004 723 4.73 264 6 2.33 1.65
Nigeria 15682 501 3.30 407 8 2.01 2.60
Kazakhstan 14238 366 2.64 73 3 4.29 0.51
Denmark 12339 40 0.33 597 3 0.51 4.84
Serbia 12251 76 0.62 253 1 0.40 2.07
Korea, South 12085 34 0.28 277 0 0.00 2.29
Moldova 11459 366 3.30 398 13 3.38 3.47
Ghana 11118 262 2.41 48 0 0.00 0.43
Algeria 10810 112 1.05 760 9 1.20 7.03
Czechia 9991 53 0.53 328 -1 -0.30 3.28
Azerbaijan 9570 352 3.82 115 2 1.77 1.20
Guatemala 9491 509 5.67 367 16 4.56 3.87
Morocco 8692 82 0.95 212 0 0.00 2.44
Cameroon 8681 0 0.00 212 0 0.00 2.44
Norway 8628 8 0.09 242 0 0.00 2.80
Honduras 8455 323 3.97 310 4 1.31 3.67
Malaysia 8445 43 0.51 120 1 0.84 1.42
Australia 7320 26 0.36 102 0 0.00 1.39
Finland 7087 14 0.20 325 0 0.00 4.59
Sudan 7007 128 1.86 447 14 3.23 6.38
Nepal 5335 273 5.39 18 2 12.50 0.34

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 382630 916 0.24 30795 37 0.12 8.05 19668.89 1583.00 1 in 51
New Jersey 166605 441 0.27 12621 132 1.06 7.58 18757.20 1420.93 1 in 53
California 150018 3359 2.29 5076 98 1.97 3.38 3796.75 128.47 1 in 263
Illinois 131871 673 0.51 6289 29 0.46 4.77 10406.63 496.30 1 in 96
Massachusetts 105395 336 0.32 7576 38 0.50 7.19 15165.83 1090.15 1 in 66
Texas 86915 1988 2.34 1971 15 0.77 2.27 2997.49 67.98 1 in 334
Pennsylvania 82944 463 0.56 6211 49 0.80 7.49 6478.99 485.16 1 in 154
Florida 73552 2581 3.64 2925 48 1.67 3.98 3424.57 136.19 1 in 292
Michigan 65836 164 0.25 6013 23 0.38 9.13 6592.26 602.09 1 in 152
Maryland 61305 692 1.14 2926 26 0.90 4.77 10140.30 483.98 1 in 99
Georgia 56804 1021 1.83 2447 29 1.20 4.31 5350.07 230.47 1 in 187
Virginia 53869 658 1.24 1541 7 0.46 2.86 6311.16 180.54 1 in 158
Louisiana 46283 1288 2.86 3004 8 0.27 6.49 9955.92 646.19 1 in 100
Connecticut 44994 305 0.68 4186 27 0.65 9.30 12620.02 1174.10 1 in 79
North Carolina 42845 1428 3.45 1127 6 0.54 2.63 4085.11 107.46 1 in 245
Ohio 40851 427 1.06 2556 46 1.83 6.26 3494.79 218.67 1 in 286
Indiana 39543 397 1.01 2413 17 0.71 6.10 5873.69 358.43 1 in 170
Arizona 34660 1621 4.91 1189 33 2.85 3.43 4551.61 156.14 1 in 220
Minnesota 30172 377 1.27 1314 9 0.69 4.36 5349.99 232.99 1 in 187
Tennessee 29549 431 1.48 472 6 1.29 1.60 4324.34 69.07 1 in 231
Colorado 29002 195 0.68 1597 15 0.95 5.51 5036.17 277.32 1 in 199
Washington 25538 367 1.46 1213 9 0.75 4.75 3353.69 159.29 1 in 298
Alabama 24601 891 3.76 773 4 0.52 3.14 5017.35 157.65 1 in 199
Iowa 23717 367 1.57 650 6 0.93 2.74 7517.11 206.02 1 in 133
Wisconsin 22518 272 1.22 691 2 0.29 3.07 3867.45 118.68 1 in 259
Mississippi 19348 257 1.35 889 8 0.91 4.59 6501.02 298.71 1 in 154
South Carolina 17955 785 4.57 599 6 1.01 3.34 3487.28 116.34 1 in 287
Nebraska 16640 118 0.71 215 0 0.00 1.29 8602.11 111.15 1 in 116
Missouri 16232 235 1.47 885 4 0.45 5.45 2644.76 144.20 1 in 378
Rhode Island 15947 0 0.00 833 0 0.00 5.22 15053.41 786.32 1 in 66
Utah 13981 404 2.98 139 0 0.00 0.99 4360.94 43.36 1 in 229
Kentucky 12445 279 2.29 499 2 0.40 4.01 2785.57 111.69 1 in 359
Arkansas 12095 548 4.75 177 1 0.57 1.46 4007.85 58.65 1 in 250
Kansas 11020 47 0.43 245 2 0.82 2.22 3782.63 84.10 1 in 264
Nevada 10997 293 2.74 462 1 0.22 4.20 3570.27 149.99 1 in 280
Delaware 10229 56 0.55 419 5 1.21 4.10 10504.60 430.29 1 in 95
District of Columbia 9709 55 0.57 511 5 0.99 5.26 13757.02 724.05 1 in 73
New Mexico 9621 95 1.00 431 11 2.62 4.48 4588.36 205.55 1 in 218
Oklahoma 8073 224 2.85 359 -1 -0.28 4.45 2040.20 90.73 1 in 490
South Dakota 5833 91 1.58 75 1 1.35 1.29 6593.50 84.78 1 in 152
Puerto Rico 5690 154 2.78 146 0 0.00 2.57 1781.64 45.72 1 in 561
Oregon 5377 0 0.00 173 0 0.00 3.22 1274.85 41.02 1 in 784
New Hampshire 5299 48 0.91 318 3 0.95 6.00 3897.15 233.87 1 in 257
Idaho 3353 0 0.00 87 0 0.00 2.59 1871.03 48.55 1 in 534
North Dakota 3058 42 1.39 74 0 0.00 2.42 4012.80 97.10 1 in 249
Maine 2757 36 1.32 100 0 0.00 3.63 2051.02 74.39 1 in 488
West Virginia 2274 25 1.11 88 0 0.00 3.87 1272.42 49.24 1 in 786
Vermont 1125 6 0.54 55 0 0.00 4.89 1802.92 88.14 1 in 555
Wyoming 1050 23 2.24 18 0 0.00 1.71 1814.23 31.10 1 in 551
Hawaii 723 17 2.41 17 0 0.00 2.35 510.64 12.01 1 in 1958
Alaska 653 29 4.65 12 0 0.00 1.84 892.63 16.40 1 in 1120
Montana 588 15 2.62 18 0 0.00 3.06 550.16 16.84 1 in 1818

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2872240 382630 13.32 147645.98
New Jersey 1078215 166605 15.45 121390.67
California 2724393 150018 5.51 68950.64
Illinois 1169806 131871 11.27 92315.54
Massachusetts 703596 105395 14.98 101244.07
Texas 1260319 86915 6.90 43465.45
Pennsylvania 575051 82944 14.42 44918.88
Florida 1370413 73552 5.37 63806.21
Michigan 799483 65836 8.23 80053.51
Maryland 408758 61305 15.00 67611.58
Georgia 599680 56804 9.47 56480.75
Virginia 459993 53869 11.71 53891.63
Louisiana 504383 46283 9.18 108497.60
Connecticut 344254 44994 13.07 96557.16
North Carolina 611690 42845 7.00 58322.38
Ohio 538898 40851 7.58 46102.61
Indiana 340637 39543 11.61 50598.03
Arizona 328397 34660 10.55 43125.62
Minnesota 407992 30172 7.40 72343.73
Tennessee 601362 29549 4.91 88006.25
Colorado 236461 29002 12.27 41061.27
Washington 439862 25538 5.81 57763.39
Alabama 293252 24601 8.39 59808.47
Iowa 219608 23717 10.80 69604.79
Wisconsin 410917 22518 5.48 70574.78
Mississippi 213885 19348 9.05 71866.36
South Carolina 241906 17955 7.42 46983.77
Nebraska 134377 16640 12.38 69466.73
Missouri 269796 16232 6.02 43959.13
Rhode Island 191518 15947 8.33 180786.34
Utah 262782 13981 5.32 81966.76
Kentucky 294585 12445 4.22 65937.01
Arkansas 187017 12095 6.47 61970.79
Kansas 129152 11020 8.53 44331.64
Nevada 204880 10997 5.37 66516.11
Delaware 80099 10229 12.77 82257.10
District of Columbia 63036 9709 15.40 89317.87
New Mexico 255284 9621 3.77 121747.65
Oklahoma 246439 8073 3.28 62279.71
South Dakota 64513 5833 9.04 72924.14
Puerto Rico 5690 5690 100.00 1781.64
Oregon 166189 5377 3.24 39402.41
New Hampshire 93956 5299 5.64 69099.98
Idaho 62658 3353 5.35 34964.13
North Dakota 85873 3058 3.56 112685.06
Maine 68350 2757 4.03 50847.63
West Virginia 127517 2274 1.78 71352.27
Vermont 49933 1125 2.25 80022.24
Wyoming 33055 1050 3.18 57113.58
Hawaii 59338 723 1.22 41909.16
Alaska 71803 653 0.91 98152.54
Montana 58004 588 1.01 54271.33

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 104568 3427 3.39 49346 47.19 51379 3830 113 3.04 3.66
Tamil Nadu 42687 1989 4.89 23409 54.84 18881 397 30 8.17 0.93
Delhi 38958 2134 5.80 14945 38.36 22742 1271 57 4.70 3.26
Gujarat 23079 517 2.29 15891 68.85 5739 1449 33 2.33 6.28
Uttar Pradesh 13118 502 3.98 7875 60.03 4858 385 20 5.48 2.93
Rajasthan 12401 215 1.76 9337 75.29 2782 282 7 2.55 2.27
West Bengal 10698 454 4.43 4542 42.46 5693 463 12 2.66 4.33
Madhya Pradesh 10641 198 1.90 7377 69.33 2817 447 7 1.59 4.20
State Unassigned 7984 0 0.00 0 0.00 7984 0 0 NaN 0.00
Karnataka 6824 308 4.73 3648 53.46 3092 82 3 3.80 1.20
Haryana 6749 415 6.55 2803 41.53 3868 78 8 11.43 1.16
Bihar 6289 193 3.17 3686 58.61 2568 35 0 0.00 0.56
Andhra Pradesh 5858 222 3.94 3185 54.37 2591 82 2 2.50 1.40
Jammu and Kashmir 4878 148 3.13 2269 46.51 2554 55 2 3.77 1.13
Telangana 4737 253 5.64 2352 49.65 2203 182 8 4.60 3.84
Assam 3901 207 5.60 1806 46.30 2084 8 0 0.00 0.21
Odisha 3723 0 0.00 2594 69.67 1116 13 0 0.00 0.35
Punjab 3063 77 2.58 2327 75.97 671 65 2 3.17 2.12
Kerala 2408 85 3.66 1045 43.40 1342 20 0 0.00 0.83
Uttarakhand 1785 61 3.54 1077 60.34 677 23 2 9.52 1.29
Jharkhand 1711 55 3.32 816 47.69 887 8 0 0.00 0.47
Chhattisgarh 1550 105 7.27 631 40.71 913 6 0 0.00 0.39
Tripura 1046 83 8.62 315 30.11 730 1 0 0.00 0.10
Goa 523 60 12.96 70 13.38 453 0 0 NaN 0.00
Himachal Pradesh 502 16 3.29 308 61.35 177 7 0 0.00 1.39
Manipur 458 73 18.96 89 19.43 369 0 0 NaN 0.00
Ladakh 437 198 82.85 68 15.56 368 1 0 0.00 0.23
Chandigarh 350 5 1.45 295 84.29 50 5 0 0.00 1.43
Puducherry 176 13 7.98 82 46.59 91 3 0 0.00 1.70
Nagaland 168 5 3.07 84 50.00 84 0 0 NaN 0.00
Mizoram 112 5 4.67 1 0.89 111 0 0 NaN 0.00
Arunachal Pradesh 88 5 6.02 6 6.82 82 0 0 NaN 0.00
Sikkim 63 0 0.00 5 7.94 58 0 0 NaN 0.00
Meghalaya 44 0 0.00 26 59.09 17 1 0 0.00 2.27
Andaman and Nicobar Islands 38 0 0.00 33 86.84 5 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 31 1 3.33 2 6.45 29 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 883305 91414 210 0.23 10.35 2252 96 16785 16428 17.97
Piemonte 365223 31029 40 0.13 8.50 510 27 2820 4006 12.91
Emilia-Romagna 400902 28056 28 0.10 7.00 192 15 1727 4199 14.97
Veneto 798290 19212 13 0.07 2.41 41 1 778 1977 10.29
Toscana 289524 10172 7 0.07 3.51 33 16 502 1082 10.64
Liguria 125871 9875 4 0.04 7.85 91 3 244 1518 15.37
Lazio 294654 7941 25 0.32 2.70 303 45 1357 806 10.15
Marche 120308 6754 2 0.03 5.61 22 0 677 993 14.70
Campania 234666 4608 0 0.00 1.96 67 2 337 430 9.33
Puglia 145905 4515 0 0.00 3.09 60 2 422 532 11.78
P.A. Trento 102138 4446 3 0.07 4.35 5 1 70 464 10.44
Sicilia 178319 3456 1 0.03 1.94 33 3 842 279 8.07
Friuli Venezia Giulia 158870 3296 6 0.18 2.07 15 0 105 343 10.41
Abruzzo 90340 3275 4 0.12 3.63 72 4 509 454 13.86
P.A. Bolzano 75735 2610 2 0.08 3.45 7 2 95 291 11.15
Umbria 81155 1436 0 0.00 1.77 10 1 21 76 5.29
Sardegna 68079 1363 0 0.00 2.00 12 0 34 132 9.68
Valle d’Aosta 16476 1191 0 0.00 7.23 7 0 7 144 12.09
Calabria 81255 1162 1 0.09 1.43 15 1 45 97 8.35
Molise 18495 439 0 0.00 2.37 0 0 97 23 5.24
Basilicata 34681 401 0 0.00 1.16 0 1 11 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 53824 158 0.29 5195 47 0.91 9.65 6304.29 608.48 1 in 159
Ontario 33625 247 0.74 2582 9 0.35 7.68 2285.58 175.51 1 in 438
Alberta 7383 37 0.50 150 1 0.67 2.03 1672.96 33.99 1 in 598
British Columbia 2709 0 0.00 168 0 0.00 6.20 530.04 32.87 1 in 1887
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 664 1 0.15 13 0 0.00 1.96 561.92 11.00 1 in 1780
Manitoba 303 2 0.66 7 0 0.00 2.31 219.96 5.08 1 in 4546
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 157 3 1.95 2 1 100.00 1.27 201.28 2.56 1 in 4968
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1625 8 0.49
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1109 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 691 7 1.01
Jiangsu 653 0 0.00
Beijing 637 9 1.41
Sichuan 583 3 0.51
Chongqing 580 6 1.03
Fujian 361 1 0.28
Hebei 328 6 1.83
Shaanxi 311 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 237 1 0.42
Shanxi 198 0 0.00
Tianjin 196 3 1.53
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 151 2 1.32
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6340.24 352.80 1 in 158
Brazil 4063.61 204.11 1 in 246
Russia 3594.87 47.19 1 in 278
India 230.76 6.63 1 in 4333
United Kingdom 4452.56 628.34 1 in 225
Spain 5220.85 581.57 1 in 192
Italy 3912.88 567.15 1 in 256
Peru 6861.95 196.08 1 in 146
France 2892.16 438.89 1 in 346
Germany 2261.95 106.21 1 in 442
Iran 2278.89 107.57 1 in 439
Turkey 2186.33 59.30 1 in 457
Chile 9271.75 171.80 1 in 108
Mexico 1104.41 130.59 1 in 905
Pakistan 672.11 12.95 1 in 1488
Saudi Arabia 3743.41 28.29 1 in 267
Canada 2661.43 217.69 1 in 376
Bangladesh NA NA 1 in NA
China 60.81 3.35 1 in 16444
Qatar 29714.29 26.53 1 in 34

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 209493 22076 10.54
Cook Illinois 84581 4173 4.93
Los Angeles California 72057 2894 4.02
Nassau New York 41172 2163 5.25
Suffolk New York 40615 1947 4.79
Westchester New York 34253 1404 4.10
Philadelphia Pennsylvania 24338 1502 6.17
Middlesex Massachusetts 23156 1748 7.55
Wayne Michigan 21711 2669 12.29
Miami-Dade Florida 21633 822 3.80
Suffolk Massachusetts 19299 943 4.89
Hudson New Jersey 19149 1253 6.54
Bergen New Jersey 18805 1664 8.85
Essex New Jersey 18336 1741 9.49
Maricopa Arizona 17791 549 3.09
Prince George’s Maryland 17216 634 3.68
Passaic New Jersey 16612 997 6.00
Harris Texas 16568 275 1.66
Middlesex New Jersey 16385 1074 6.55
Union New Jersey 16337 1121 6.86
Fairfield Connecticut 16277 1345 8.26
Essex Massachusetts 15573 1041 6.68
Dallas Texas 13930 283 2.03
Montgomery Maryland 13534 686 5.07
Rockland New York 13411 661 4.93
Fairfax Virginia 12939 423 3.27
New Haven Connecticut 12021 1041 8.66
Worcester Massachusetts 11961 863 7.22
Providence Rhode Island 11959 0 0.00
Oakland Michigan 11298 1067 9.44
Hartford Connecticut 11189 1321 11.81
Marion Indiana 10619 647 6.09
Orange New York 10563 473 4.48
Riverside California 10490 383 3.65
Hennepin Minnesota 10069 712 7.07
District of Columbia District of Columbia 9709 511 5.26
Milwaukee Wisconsin 9418 350 3.72
San Diego California 9314 319 3.42
Ocean New Jersey 9222 813 8.82
Lake Illinois 9033 374 4.14
Broward Florida 8864 357 4.03
Norfolk Massachusetts 8860 882 9.95
Monmouth New Jersey 8720 667 7.65
King Washington 8694 591 6.80
Clark Nevada 8556 377 4.41
Plymouth Massachusetts 8478 621 7.32
Palm Beach Florida 8442 425 5.03
DuPage Illinois 8389 430 5.13
Jefferson Louisiana 8339 465 5.58
Orange California 8269 217 2.62

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc